References of "Khan, Samee"
     in
Bookmark and Share    
Full Text
Peer Reviewed
See detailIt's Not a Bug, It'sa Feature: Wait-free Asynchronous Cellular Genetic Algorithm
Pinel, Frédéric UL; Dorronsoro, Bernabé UL; Bouvry, Pascal UL et al

in Wyrzykowski, Roman; Dongarra, Jack (Eds.) Parallel Processing and Applied Mathematics 10th International Conference, PPAM 2013 Warsaw, Poland, September 8–11, 2013 (2014)

Detailed reference viewed: 99 (2 UL)
Full Text
Peer Reviewed
See detailHopfield neural network for simultaneous job scheduling and data replication in grids
Taheri, Javid; Zomaya, Albert; Bouvry, Pascal UL et al

in Future Generation Computer Systems (2013), 29(8), 1885-1900

This paper presents a novel heuristic approach, named JDS-HNN, to simultaneously schedule jobs and replicate data files to different entities of a grid system so that the overall makespan of executing all ... [more ▼]

This paper presents a novel heuristic approach, named JDS-HNN, to simultaneously schedule jobs and replicate data files to different entities of a grid system so that the overall makespan of executing all jobs as well as the overall delivery time of all data files to their dependent jobs is concurrently minimized. JDS-HNN is inspired by a natural distribution of a variety of stones among different jars and utilizes a Hopfield Neural Network in one of its optimization stages to achieve its goals. The performance of JDS-HNN has been measured by using several benchmarks varying from medium- to very-large-sized systems. JDS-HNN’s results are compared against the performance of other algorithms to show its superiority under different working conditions. These results also provide invaluable insights into scheduling and replicating dependent jobs and data files as well as their performance related issues for various grid environments. [less ▲]

Detailed reference viewed: 252 (0 UL)
Full Text
Peer Reviewed
See detailSavant: Automatic parallelization of a scheduling heuristic with machine learning
Pinel, Frédéric UL; Dorronsoro, Bernabé UL; Bouvry, Pascal UL et al

in Nature and Biologically Inspired Computing (NaBIC), 2013 World Congress on (2013, August 13)

Detailed reference viewed: 172 (2 UL)
Peer Reviewed
See detailGFOG: Green and Flexible Opportunistic Grids.
Castro, Harold; Villamizar, Mario; Sotelo, German et al

in Khan, Samee; Zomaya, Albert; Lizhe, Wang (Eds.) Scalable Computing and Communications. Theory and Practice (2013)

Energy efficiency and high performance computing are the basic design consider- ations across modern-day computing solutions due to different concerns, such as system functioning, operational cost, and ... [more ▼]

Energy efficiency and high performance computing are the basic design consider- ations across modern-day computing solutions due to different concerns, such as system functioning, operational cost, and environmental issues. Opportunistic grid infrastructures offer computational power at low cost focused on harvesting idle computing cycles of existing commodity computing resources. Other than allow- ing the customization of execution environments, virtualization is considered as one key technique to reduce energy consumption in large-scale systems and contributes to the scalability of the system. This work presented an energy efficient approach for opportunistic grids based on virtualization. The experimental results showed that depending on the strategy used to deploy virtual machines on desktop machines, virtu- alization significantly improves the energy efficiency of opportunistic grids compared with dedicated computing systems, without disturbing the owner-user. [less ▲]

Detailed reference viewed: 239 (5 UL)
Full Text
Peer Reviewed
See detailA Review on Task Performance Prediction in Multi-core Based Systems
Pinel, Frédéric UL; Pecero, Johnatan UL; Bouvry, Pascal UL et al

in Computer and Information Technology (CIT), 2011 IEEE 11th International Conference on (2011)

Detailed reference viewed: 126 (1 UL)
Peer Reviewed
See detailEnergy-Efficient Computing using Agent-Based Multi-Objective Dynamic Optimization
Tantar, Alexandru-Adrian UL; Danoy, Grégoire UL; Bouvry, Pascal UL et al

in J. H. Kim and M. J. Lee (Ed.) Green IT: Technologies and Applications (2011)

Detailed reference viewed: 145 (11 UL)
Full Text
Peer Reviewed
See detailMemory-aware Green Scheduling on Multi-core Processors
Pinel, Frédéric UL; Pecero, Johnatan UL; Bouvry, Pascal UL et al

in Proceedings of the Second International Workshop on Green Computing (2010, September 16)

Contention on shared resources such as cache and main memory slows down the execution of the applications affecting not only application performance but also induces inefficient use of energy. Therefore ... [more ▼]

Contention on shared resources such as cache and main memory slows down the execution of the applications affecting not only application performance but also induces inefficient use of energy. Therefore, in this paper we deal with the contention problem and energy optimization on shared resources multicore-based machines. Our main contribution is a memory-aware resource allocation algorithm that minimize energy consumption by reducing contention conflicts and maximizing performance. We design a heuristic that includes in its objective function the impact of the contention on the application performance. Experimental results emphasize the interest of the provided solution. [less ▲]

Detailed reference viewed: 120 (1 UL)